Low illumination image enhancement method based on dual-tree complex wavelet transform

A dual-tree complex wavelet and image enhancement technology, which is applied in the field of image processing, can solve the problems of image quality reduction, color distortion, and unsatisfactory noise suppression effects, and achieve the effects of reducing noise, enhancing image contrast, and improving readability

Active Publication Date: 2016-01-13
XIDIAN UNIV
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Problems solved by technology

[0006] The mathematical theory used by the former is relatively complicated, and the suppression effect on noise is not very ideal, while the latter mainly depends on the distribution of image probability. The uneven distribution of low-light image probability makes the dynamic range allocation unreasonable in the image enhancement process, which greatly reduces the Enhances the quality of the image and causes color distortion

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  • Low illumination image enhancement method based on dual-tree complex wavelet transform
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  • Low illumination image enhancement method based on dual-tree complex wavelet transform

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Embodiment 1

[0050] This application provides a low-light image enhancement method based on dual-tree complex wavelet transform, such as figure 1 As shown, the low-light image enhancement method based on dual-tree complex wavelet transform includes:

[0051] 11. Convert the color space of the image to be processed to obtain the converted first image;

[0052] 12. Perform brightness compensation processing on the first image to obtain a processed brightness compensation image;

[0053] 13. Performing dual-tree complex wavelet transform on the brightness compensation image, obtaining low-pass subbands and high-pass subbands of brightness components in the brightness compensation image, and processing the low-pass subbands and the high-pass subbands, Get the processed image;

[0054] 14. Extract the processed luminance component in the processed image and the original luminance component in the image to be processed, and combine the color components in the image to be processed according to...

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Abstract

The present invention discloses a low illumination image enhancement method based on dual-tree complex wavelet transform, belonging to the field of image processing. The method comprises a step of converting the color space of an image to be processed to obtain a first image, carrying out brightness compensation processing on the first image, and obtaining a processed brightness compensation image, a step of carrying out dual-tree complex wavelet transform on the brightness compensation image to obtain a processed image, and obtaining an output image according to the ratio of the brightness component in the processed image and the brightness component in the image to be processed. According to the method, through using the dual-tree complex wavelet transform to carry out contrast enhancement and image noise reduction in a wavelet domain in the processing process, due to shift invariance, good selectivity and remodeling characteristic, a guarantee is provided for low illumination image noise reduction, due to the classification of wavelet coefficients and the processing of the classified coefficients by using a nonlinear enhancement function, while the image contrast is enhanced, the noise is reduced, and the readability of a low illumination image is improved.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a low-light image enhancement method based on dual-tree complex wavelet transform. Background technique [0002] Contrast enhancement has always been a hot research topic. Images captured under low ambient light conditions often contain a large number of dark pixel areas, where the visibility of image details is reduced. Images obtained in dark environments usually have the characteristics of low gray levels and concentrated distribution, resulting in low contrast and narrow dynamic range of the image. Therefore, the primary task of image processing is to improve the contrast of the original image, so that the visual effect perceived by the human eye is better, and more visual information can be obtained. In recent years, in order to overcome the shortcomings of traditional contrast enhancement methods in processing low-light images, scholars have proposed some image enhancement ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 郑喆坤孙婷婷崔玉
Owner XIDIAN UNIV
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